Nan Yang (杨楠) - Google Scholar Citations

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Citations	136	136
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i10-index	2	2

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20172018201920201 14 88 32

Co-authors

Daniel CremersTechnical University of MunichVerified email at tum.de
Jörg StücklerMax-Planck-Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Lukas von StumbergSenior Computer Vision Engineer at Artisense and PhD Student at TU MunichVerified email at in.tum.de
Rui Wang 王锐PhD Student, Chair for Computer Vision and Artificial Intelligence, Technical University of MunichVerified email at in.tum.de

Nan Yang (杨楠)

Nan Yang (杨楠)

Ph.D. student, Chair for Computer Vision and Artificial Intelligence, Technical University of Munich

Verified email at in.tum.de - Homepage

Computer Vision SLAM Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep virtual stereo odometry: Leveraging deep depth prediction for monocular direct sparse odometry N Yang, R Wang, J Stuckler, D Cremers Proceedings of the European Conference on Computer Vision (ECCV), 817-833, 2018	93	2018
Challenges in monocular visual odometry: Photometric calibration, motion bias, and rolling shutter effect N Yang, R Wang, X Gao, D Cremers IEEE Robotics and Automation Letters 3 (4), 2878-2885, 2018	39*	2018
Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light E Jung, N Yang, D Cremers arXiv preprint arXiv:1910.06632, 2019	2	2019
DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation R Wang, N Yang, J Stueckler, D Cremers arXiv preprint arXiv:1904.10097, 2019	2	2019
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry N Yang, L von Stumberg, R Wang, D Cremers arXiv preprint arXiv:2003.01060, 2020		2020
Deep Virtual Stereo Odometry N Yang, R Wang US Patent App. 16/443,502, 2019		2019

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